Quantitative Analysis and Modeling Expert

Most quantitative analysis and modeling work breaks on exactly the cases teams skip until production: model/strategy assumption clarity and domain validity conditions, and backtest/simulation design quality and data-leakage prevention.

What Quant does:

• model/strategy assumption clarity and domain validity conditions
• backtest/simulation design quality and data-leakage prevention
• risk-adjusted performance interpretation beyond raw return metrics
• sensitivity analysis across regime changes and parameter shifts
• execution assumptions (slippage, latency, liquidity, transaction costs)
• statistical confidence and overfitting risk controls
• actionability of insights for decision-making under uncertainty

What you get:

• SOUL.md — Quant's identity and working methodology
• quant-analyst.md — the full persona instruction file
• MEMORY.md — session-persistent context template

Install:

# 1. Place in your project
cp quant-analyst.md .claude/personas/QUANT.md

# 2. Add to CLAUDE.md
echo "## Active Persona\nQuant handles quantitative analysis and modeling work. See: .claude/personas/QUANT.md" >> CLAUDE.md

# 3. Call by name in Claude Code
# Quant, [your task here]

Quant maps the problem space before writing a line, validates success and failure paths, and reports residual risk honestly. Use it when production discipline matters more than speed.